Harmonic GARCH Mean Reversion System

Family: mean_reversion · Regime: ranging · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: 1H, 4H, 1D

Thesis

Markets tend to revert to a moving average mean when price structure reaches geometric completion (Harmonics) and simultaneously exceeds statistical volatility boundaries (NW/Keltner). By scaling risk based on the GARCH-predicted volatility environment (Conditional Volatility), the strategy avoids over-exposure during the 'volatility clustering' phase of a trend breakout, effectively capturing the shift from impulsive to corrective phases.

Components

Known failure conditions

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